# Stores

In Feast, a store is a database that is populated with feature data that will ultimately be served to models.

## Offline (Historical) Store

The offline store maintains historical copies of feature values. These features are grouped and stored in feature tables. During retrieval of historical data, features are queries from these feature tables in order to produce training datasets.

## Online Store

The online store maintains only the latest values for a specific feature.

* Feature values are stored based on their [entity keys](/v0.11-branch/feast-on-kubernetes/concepts/stores.md)
* Feast currently supports Redis as an online store.
* Online stores are meant for very high throughput writes from ingestion jobs and very low latency access to features during online serving.

{% hint style="info" %}
Feast only supports a single online store in production
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.feast.dev/v0.11-branch/feast-on-kubernetes/concepts/stores.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.